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Englewood Cliffs, New Jersey - USD Full Time Posted: Wednesday, 16 May 2018
JOB SUMMARY: The position will lead a small team of individual contributor roles working closely with the business interpreter and CCBT and CD teams. This position is expected to lead the small team while being hands on applying own data science skillsets. This role will also manage third party contractors as required.
  • Works with the business interpreter to fully understand the business problem and how to deliver relevant insights that lead to actions.
  • Gathers, analyses, and model data to solve complex business problems
  • Builds Diagnostic and Predictive Modelsto solve the business problem applying range of techniques across classical statistics, Machine Learning and deep learning.
  • Power fast paced analytics experimentation (80% of time) through hands on data science solution building and creative approaches to solve one of a kind problems.
  • Once proven industrialise the analytics solution (20 % of time) in partnership with the central data science hub with emphasis on (i) tuning the model for high accuracy (ii) coding it for optimal speed and scale
You re a born leader:
Manage small team of data scientists who are delivering according to priorities set forth by market and/or function.
You re a strategy guru:
Build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics
You re a dot connector:
Drive new value from insights from connecting external and internal data sources
You re an innovator:
Innovate new data and analytic methodologies driven by local needs which feed into I&A s global product pipeline
What You ll Need To Succeed
  • B. S. or M. S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics).
  • Preferred experience in digital native company applying advanced analytics with clear vision for applying previous experience in consumer goods
  • Strong track record in solving analytical problems using quantitative and statistical approaches
    • Expert knowledge in statistics (Regression, Clustering, Random Forrest, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies)
    • Expert knowledge of an analysis tool such as Angoss, KNIME, Spotfire, Microsoft PowerBI, and Tableau
    • Expert knowledge working with and coding in R, R Shiny, and Microsoft Azure Machine Learning
  • Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)
    • Experienced knowledge working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive)
    • Experienced knowledge working in Microsoft Azure and applying Cortana to develop scaled analytic models in the cloud
    • Experienced knowledge with relational and columnar databases SQL is a plus
  • Passion for empirical research and for answering hard questions with data
  • Ability to apply an agile analytic approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative insights in a precise, and actionable manner
  • Strong communication skills
    and ability to work with peers and demonstrate vertical and lateral influence.
What We Can Offer You
Culture for Growth
Top Notch Employee Health & Well Being Benefits
Every Voice Matters
Global Reach
Life at Unilever
Careers with Purpose
World Class Career Development Programs
Check Out Our Space
Focus On Sustainability
Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business.

Englewood Cliffs, New Jersey, United States of America
5/16/2018 1:42:13 PM

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